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DOI: 10.14569/IJACSA.2018.091250
PDF

An Efficient Rule based Decision Support System using Semantic Web Technology

Author 1: Jawed Naseem
Author 2: S. M. Aqil Burney
Author 3: Nadeem Mehmood

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The Semantic Web technology is an efficient mechanism to query or infer knowledge on a global scale using the internet by providing logical reasoning through rule based system. In this paper application of semantic web technology is discussed in context of agriculture knowledge management and delivery. In agriculture, adoption of newly developed technology is essential to enhance crop production. However, timely dissemination of authenticated agriculture information for decision making at larger scale to diversified end user has always been a challenge due to several reasons. One of the reasons is storing and delivering agriculture knowledge in machine readable form. In this paper a frame work based on semantic web is presented for collection, storing and updating of agricultural information at centralized location and delivering knowledge through intelligent decision support system through semantic web. The frame work utilizes rule based system for querying information from agriculture knowledge base.

Keywords: Agriculture information; semantic web; rule based system; intelligent DSS

Jawed Naseem, S. M. Aqil Burney and Nadeem Mehmood, “An Efficient Rule based Decision Support System using Semantic Web Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091250

@article{Naseem2018,
title = {An Efficient Rule based Decision Support System using Semantic Web Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091250},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091250},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Jawed Naseem and S. M. Aqil Burney and Nadeem Mehmood}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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